Senior Deep Learning Performance Architect at NVIDIA

Santa Clara, California, United States

Apply Now

$148,000 – $287,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, High-Performance ComputingIndustries

Requirements

Master’s or PhD in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience
4+ years of relevant work or research experience
Strong foundation in machine learning and deep learning fundamentals
Strong background in high performance, power-efficient designs, energy efficient high performance computing, performance analysis, and profiling to identify performance bottlenecks
Fluency in programming languages such as Python, C, C++
Experience and familiarity with GPU computing and parallel programming models
Firsthand work experience with analytical performance modeling, profiling, and analysis

Responsibilities

Craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning
Prototype key deep learning and data analytics algorithms and applications
Analyze trade-offs in performance, cost, and power, developing analytical models, simulators, and test suites
Analyze architecture performance and/or energy efficiency considering deep learning workloads
Collaborate across the company to guide the direction of machine learning, working with software, research, and product teams

Skills

Key technologies and capabilities for this role

PythonCC++Deep LearningMachine LearningGPU ComputingParallel ProgrammingPerformance AnalysisProfilingAnalytical Modeling

Questions & Answers

Common questions about this position

What is the salary range for the Senior Deep Learning Performance Architect position?

The base salary range is $148,000 - $287,500 USD.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Requirements include a Master’s or PhD in Computer Science, Electrical Engineering, or Computer Engineering; 4+ years of relevant experience; strong foundation in machine learning and deep learning; background in high performance, power-efficient designs and performance analysis; fluency in Python, C, C++; GPU computing experience; and firsthand work with analytical performance modeling.

What is the company culture like at NVIDIA?

NVIDIA is a dynamic, technology-focused company and widely considered one of the technology world’s most desirable employers, with a focus on accelerating machine learning, data analytics, and high-performance computing.

What makes a strong candidate for this Senior Deep Learning Performance Architect role?

A strong candidate will have a Master’s or PhD in a relevant field, 4+ years of experience in machine learning, deep learning, high-performance designs, GPU computing, and performance modeling, along with fluency in Python, C, and C++.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free